Platform Engineer (AI Infrastructure) About the job Stealth AI Analytics Startup | London | Hybrid We’re hiring for a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence. The system is fully AWS-native, heavily event-driven, and designed to process high volumes of AI-generated data reliably and cost-effectively. We’re looking for a Platform Engineer to own and evolve the infrastructure backbone that powers the entire platform. What You’ll Be Doing * Designing and evolving AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, DynamoDB, Athena). * Owning container orchestration, task definitions, networking, IAM roles, and VPC architecture. * Strengthening infrastructure-as-code and CI/CD automation to ensure repeatable, stable deployments. * Designing event-driven, distributed systems that scale cleanly under load. * Building monitoring, alerting, logging, and observability systems (CloudWatch, metrics, tracing). * Driving performance optimisation and cost efficiency across workloads. * Embedding security principles, least-privilege IAM, and infrastructure resilience from day one. * Experimenting with AI agents and automation tools to streamline infrastructure management and operational workflows...